Scroll your LinkedIn feed for two minutes and you will feel it before you can name it. Post after post that reads fine, sounds confident, and says nothing. Same shape, same cadence, same tidy three-part lists. That feeling has a name now, and in 2025 the dictionaries made it official.
Merriam-Webster named "slop" its Word of the Year for 2025, defining it as low-quality digital content produced in quantity by means of artificial intelligence. Australia's Macquarie Dictionary picked "AI slop" too. A word does not win that title because a few people use it. It wins because the thing it describes is suddenly everywhere.
This guide explains what AI slop actually is, why LinkedIn filled up with it so quickly, the tells that give it away, and the one habit that keeps your own posts out of the pile.
What AI slop actually means
AI slop is content generated with AI that reads as low-effort and generic, made in volume, and shared without much care for whether it helps anyone. The word borrows from "slop" as in cheap filler, the stuff you pour into a trough. It is the text equivalent of a stock photo: technically an image, emotionally nothing.
It helps to see slop as two separate problems, because the fixes are different.
- It sounds like AI. The surface gives it away: a handful of overused words, a few signature sentence shapes, the same polished-but-flat rhythm every model defaults to.
- It says nothing. Even when the writing is clean, the post carries no specific claim, no real example, nothing a particular human had to live through to know. It could have been written by anyone, about anything, for no one.
Researchers who tried to measure slop found there is still no single agreed definition, but that human judgments of "this is slop" line up with concrete qualities like coherence and relevance. In plain terms: people know slop when they read it, and what they are reacting to is writing that does not say anything worth their time.
Why LinkedIn filled up with it so fast
For years, the cost of a thoughtful LinkedIn post was an hour of your attention. AI dropped that cost to about thirty seconds. When something gets that cheap to produce, you get a flood, and LinkedIn got one. One 2025 analysis estimated that roughly 54% of long-form LinkedIn posts were likely AI-written. Treat the exact figure with care, since it comes from an AI detector and those are far from perfect, but the direction is hard to argue with if you have looked at your feed lately.
Here is the trap. Most people reach for the same few models and feed them the same kind of vague prompt: "write a LinkedIn post about leadership." The model has no specifics to work with, so it returns the statistical center of every leadership post ever written. Ten thousand people do that this week. The feed becomes ten thousand near-identical posts, each one fine on its own and exhausting in aggregate.
Sameness is the real problem. A post does not have to be wrong to be slop. It just has to be interchangeable.
The tells: how to spot AI slop
Once you know the patterns, you cannot unsee them. Most AI slop carries a few of these at once.
| The tell | What it looks like |
|---|---|
| The em dash | Long dashes everywhere, often two or three to a sentence. Most people do not type them by hand. |
| Negative parallelism | The "it is not X, it is Y" rhythm, repeated. "It is not about the tool. It is about the mindset." LinkedIn now flags this shape directly. |
| Buzzword puffery | delve, leverage, unlock, robust, seamless, elevate, foster, navigate. Words that sound like work and mean little. |
| Broetry | Every. Sentence. On. Its. Own. Line. A formatting trick that pretends short lines are deep thoughts. |
| Engagement bait | "Agree?" "Comment YES if this resonates." "Tag a founder who needs to hear this." A close that begs instead of saying something. |
| Vague authority | "Studies show." "Experts agree." Confident sourcing with no actual source. |
None of these is banned by law, and a real person might use one by accident. The signal is the stack. When a post hits four of these at once, you are almost certainly reading something a model wrote and nobody really edited.
Why slop quietly kills your reach
It is tempting to think the risk is getting "caught" by some AI detector. That is not the real risk, and it is worth being precise about why.
LinkedIn has been public about cutting the reach of generic AI content. But the platform is not grading you on whether a model was involved. It is grading you on whether anyone cared enough to stop, read, and stay. Generic posts get near-zero dwell time, earn no saves, and start no conversations, so the algorithm stops showing them around. The penalty is indifference, not detection.
Search works the same way. Google has said plainly that it rewards quality content however it is produced and targets mass-produced, low-value pages "no matter how they are created." AI is not the problem in either place. Generic is.
Slop does not fail because a machine flags it. It fails because a person scrolls past it.
How to stop writing it
The fix is smaller than people expect, and it is the same fix on every platform: ground each post in one real, specific thing only you could have written.
Not "consistency matters." Instead: the client who churned in week three and the exact email that won them back. Not "hiring is hard." Instead: the question you started asking in interviews after one bad hire cost you four months. A number, a name, a moment, a result. The specific is the part a model cannot invent for you, and it is the part that makes a stranger stop scrolling.
Once the substance is real, clean up the surface. Cut the em dashes. Delete the "it is not X, it is Y" lines. Strike the buzzwords. End on the last true thing you had to say instead of an "Agree?". We walk through that edit step by step in how to humanize AI writing.
You can use AI for all of this. The goal was never to write without it. The goal is to write something only you could have, faster. A good AI post generator should hold the line on voice for you, and grounding it in your own knowledge base of notes and recordings is what keeps the substance yours. That is exactly the split we built FeedBoss around, and we are open about its limits in how FeedBoss prevents AI slop.
The bottom line
AI slop earned a Word of the Year because the internet got tired of reading content that cost nothing to make and gives nothing back. On LinkedIn the stakes are personal: your name is on it, and a generic post does not just underperform, it makes you look like everyone else.
You do not beat slop by writing less with AI. You beat it by refusing to publish anything interchangeable. One real specific per post is the whole game.
FAQs
What does AI slop mean?
AI slop is digital content made with generative AI that reads as low quality, generic, and produced in bulk. Merriam-Webster, which named "slop" its 2025 Word of the Year, defines it as low-quality content produced in quantity by means of artificial intelligence. The word caught on because so much of it now fills feeds, search results, and inboxes.
Why is there so much AI slop on LinkedIn?
AI lowered the cost of producing a post to almost nothing, so volume exploded. One 2025 analysis classified roughly 54% of long LinkedIn posts as likely AI-written. When everyone runs the same prompt through the same model, the feed fills with posts that share the same shape, the same phrases, and the same lack of a specific point of view.
Does LinkedIn penalize AI-generated posts?
Not for being AI-written as such. LinkedIn has said it is cutting the reach of generic, low-value posts and rewarding content that holds attention and adds real perspective. The signal it reacts to is whether people stop to read, comment, and stay, not whether a model was involved. A grounded, specific AI-assisted post is fine. A generic one gets buried.
How do I make AI writing less generic?
Give it something only you have. Start from a real moment, a real number, or a named example from your own work, and make that the spine of the post. Cut the giveaway phrases and the engagement-bait close. The fastest fix is to add one concrete detail a stranger could not have guessed.